This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Bedside ventilatory settings guided by respiratory mechanics in acute respiratory distress syndrome. [PDF]
Chiumello D +5 more
europepmc +1 more source
Mechanotransducing Organic Electrochemical Diode for Crosstalk‐Inhibited Artificial Skin
An innovative approach is presented to a stretchable mechanotransducing diode that unifies rectification and tactile‐sensing functionality. This approach enables to fabricate the diode that maintains a large rectification ratio (5 × 102) at a high operational frequency (100 Hz).
Taeyeong Kim +7 more
wiley +1 more source
Preliminary Study on the Purity Analysis of Primary Certified Gas Mixtures Using Different Spectroscopic Techniques. [PDF]
Rolle F +7 more
europepmc +1 more source
One-step propylene purification from a quaternary mixture by a single physisorbent. [PDF]
Zhang P +7 more
europepmc +1 more source
Real-Time Carbon Content Prediction Model for the Reblowing Stage of Converter Based on PI-LSTM. [PDF]
Guo Y, He D, Li X, Feng K.
europepmc +1 more source
Modeling of Heat Treatment Processes in a Vortex Layer of Dispersed Materials. [PDF]
Koshlak H +3 more
europepmc +1 more source
Spontaneous Combustion Hazard Zone in the Goaf and Collaborative Prevention and Control Technique under Dynamic Evolution of Coal Pillar Air Leakage. [PDF]
Liu Y, Qi X, Zhang Y, Luo D, Qin J.
europepmc +1 more source
Molecular Dynamics Simulation of Nano-Aluminum: A Review on Oxidation, Structure Regulation, and Energetic Applications. [PDF]
Ouyang D +6 more
europepmc +1 more source

